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Immediate Hiring Alert - AI Generative Full Stack Developer - BI-FGJII

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Hybrid

Immediate Hiring Alert - AI Generative Full Stack Developer - BI-FGJII

Bounteous

Immediate Hiring Alert - AI Generative Full Stack Developer - BI-FGJII

Skills

ReactNodePythonGolangJavaAWS LambdaMachine LearningAIAWS

1 month ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Hybrid

Published on:

23 September 2026

What they need


Hello Everyone,

Greetings from Bounteous!!

We have an excellent Opening for the below Skills:

Job Title: AI Generative Full Stack Developer

Experience: 6+ Years

Job Location: Chennai / Bangalore / Hyderabad / Gurugram

Kindly share the updated Profile to [email protected] along with the below details,

Current CTC:

Expected CTC:

Available Time to Join:

Preferred Location:

Role Overview

We're hiring senior AI Full Stack Engineers to join a high-velocity engagement team building enterprise-grade AI-powered products. You'll own delivery across the full stack AI/LLM integration, backend services, cloud infrastructure, and UI shipping at scale with real accountability for outcomes.

Front-end proficiency is a strong plus. The near-term roadmap is UI-heavy, and engineers who can move fluidly across the stack including building polished interfaces will have the most impact.

What You'll Do

  • Design, build, and ship full-stack features on AI-powered enterprise applications.
  • Integrate LLMs and AI tools into production workflows RAG pipelines, agent orchestration, prompt engineering at scale.
  • Build and maintain backend services, APIs, and data pipelines.
  • Deploy and manage infrastructure on AWS (Lambda, ECS/EKS, API Gateway, S3, RDS, etc.).
  • Contribute to UI delivery building performant, well-structured interfaces using modern frameworks.
  • Collaborate with PMs, architects, and client stakeholders in an agile delivery model.
  • Write clean, testable, production-ready code built for enterprise scale.

What You Bring

  1. 6+ years of full-stack engineering experience.
  2. Strong proficiency in at least one backend language (Python, Node.js, Java, or Go).
  3. Hands-on production experience integrating AI/ML models or LLM APIs (OpenAI, Bedrock, LangChain, etc.).
  4. Solid AWS deployment experience ownership, not just familiarity.
  5. Experience at enterprise scale: multi-tenant systems, security, observability, CI/CD.
  6. Proficiency in a modern front-end framework (React preferred); ability to own UI delivery end-to-end is a strong differentiator.
  7. Comfort with ambiguity and delivering fast in client-facing engagements.
  8. Strong communication — you can hold your own in stakeholder conversations.

Good to Have

  • Experience with agentic frameworks (LangGraph, CrewAI, AutoGen).
  • Familiarity with vector databases (Pinecone, pgvector, Weaviate).
  • Prior consulting or client-facing delivery experience.
  • Contributions to AI tooling or open-source projects.

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